NCT02581228

Brief Summary

This is a retrospective, open label study to establish and validate a prediction technology for advanced melanoma patients under the 1st, 2nd and later treatment lines, with the immunotherapeutic drugs Ipilimumab, Pembrolizumab \& Nivolumab, in order to predict response rate and disease progression

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
500

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Oct 2015

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

October 1, 2015

Completed
18 days until next milestone

First Submitted

Initial submission to the registry

October 19, 2015

Completed
1 day until next milestone

First Posted

Study publicly available on registry

October 20, 2015

Completed
2.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2018

Completed
7 months until next milestone

Study Completion

Last participant's last visit for all outcomes

November 1, 2018

Completed
Last Updated

September 27, 2016

Status Verified

September 1, 2016

Enrollment Period

2.5 years

First QC Date

October 19, 2015

Last Update Submit

September 26, 2016

Conditions

Outcome Measures

Primary Outcomes (1)

  • The primary endpoint in this study stage is Time to Progression of disease

    1 year

Study Arms (2)

Training Set

The objective of the Training stage is to assess the predictive potential of ML-PrediCare for melanoma patients' response to Ipilimumab, Pembrolizumab and Nivolumab.

Device: ML-PrediCare

Validation Set

The objective of the Validation stage is to test the predictive power of ML -PrediCare in an independent set of patients diagnosed with melanoma.

Device: ML-PrediCare

Interventions

Training SetValidation Set

Eligibility Criteria

Age18 Years - 120 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Data from up to about 500 melanoma patients will be screened for collection, depending on data availability and completeness of the files

You may qualify if:

  • Patients who meet all of the following criteria are eligible for this study:
  • Gender: Female, Male.
  • Age: Eighteen years and older at the start of treatment.
  • Histologically confirmed unresectable Stage III or Stage IV melanoma, as per AJCC staging system.
  • Prior radiotherapy must have been completed at least 2 weeks prior to drug administration.
  • Measurable disease by CT, or PET-CT, or MRI per RECIST 1.1
  • Patient has at least one quantitative measurement of at least one target lesion (primary tumor or metastasis) before treatment.
  • Patient has at least one quantitative measurement of at least one target lesion (primary tumor or metastasis) during or after the treatment.
  • Patient has at least one recorded visit to the treating oncologist before treatment.
  • Patient has at least one recorded visit to the treating oncologist during or after the treatment.
  • Treatment as per SOC for melanoma.

You may not qualify if:

  • Patients meeting one or more of the following criteria are ineligible for this study:
  • History of another malignancy within the previous 2 years except for:
  • Adequately treated Stage I or II cancer currently in complete remission, or any other cancer that has been in complete remission for at least 2 years
  • Ocular melanoma
  • Active brain metastases or leptomeningeal metastases.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Optimata Ltd.

Bne ‘Atarot, 60991, Israel

RECRUITING

Related Publications (1)

  • Tsur N, Kogan Y, Avizov-Khodak E, Vaeth D, Vogler N, Utikal J, Lotem M, Agur Z. Predicting response to pembrolizumab in metastatic melanoma by a new personalization algorithm. J Transl Med. 2019 Oct 7;17(1):338. doi: 10.1186/s12967-019-2081-2.

Biospecimen

Retention: SAMPLES WITHOUT DNA

Tumor tissue from an unresectable or metastatic site of disease will be collected for biomarker analyses. Paraffin-embedded tissue samples from patients treated with the immunotherapy drugs (with the previously obtained inform consent form) will be collected from the tissue bank of the hospital and according to the European Commission regulations.

MeSH Terms

Conditions

Melanoma

Condition Hierarchy (Ancestors)

Neuroendocrine TumorsNeuroectodermal TumorsNeoplasms, Germ Cell and EmbryonalNeoplasms by Histologic TypeNeoplasmsNeoplasms, Nerve TissueNevi and MelanomasSkin NeoplasmsNeoplasms by SiteSkin DiseasesSkin and Connective Tissue Diseases

Study Officials

  • Marina Kleiman, PhD

    Optimata Ltd.

    STUDY DIRECTOR
  • Michal Lotem, MD

    Hadassah Medical Organization

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Marina Kleiman, PhD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

October 19, 2015

First Posted

October 20, 2015

Study Start

October 1, 2015

Primary Completion

April 1, 2018

Study Completion

November 1, 2018

Last Updated

September 27, 2016

Record last verified: 2016-09

Locations